A vision classifier is interpreted by masking image patches, computing gradient updates that would improve its prediction, and visualizing the filled-in patches as class prototypes.
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Fill in the blanks: Rethinking Interpretability in vision
A vision classifier is interpreted by masking image patches, computing gradient updates that would improve its prediction, and visualizing the filled-in patches as class prototypes.